Connecting functional and statistical definitions of genotype by genotype interactions in coevolutionary studies
| العنوان: | Connecting functional and statistical definitions of genotype by genotype interactions in coevolutionary studies |
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| المؤلفون: | Scott L. Nuismer, Katy D. Heath |
| المصدر: | Frontiers in Genetics Frontiers in Genetics, Vol 5 (2014) |
| بيانات النشر: | Frontiers Media SA, 2014. |
| سنة النشر: | 2014 |
| مصطلحات موضوعية: | epistasis, 0106 biological sciences, lcsh:QH426-470, Population, Variation (game tree), Biology, Natural variation, Microbiology, 010603 evolutionary biology, 01 natural sciences, Genotype, Genetics, education, Genetics (clinical), Coevolution, education.field_of_study, Natural selection, symbiosis, 010601 ecology, lcsh:Genetics, Evolutionary biology, Perspective Article, coevolution, Molecular Medicine, Epistasis, intergenomic epistasis, Reciprocal, pathogen |
| الوصف: | Predicting how species interactions evolve requires that we understand the mechanistic basis of coevolution, and thus the functional genotype-by-genotype interactions (G × G) that drive reciprocal natural selection. Theory on host-parasite coevolution provides testable hypotheses for empiricists, but depends upon models of functional G × G that remain loosely tethered to the molecular details of any particular system. In practice, reciprocal cross-infection studies are often used to partition the variation in infection or fitness in a population that is attributable to G × G (statistical G × G). Here we use simulations to demonstrate that within-population statistical G × G likely tells us little about the existence of coevolution, its strength, or the genetic basis of functional G × G. Combined with studies of multiple populations or points in time, mapping and molecular techniques can bridge the gap between natural variation and mechanistic models of coevolution, while model-based statistics can formally confront coevolutionary models with cross-infection data. Together these approaches provide a robust framework for inferring the infection genetics underlying statistical G × G, helping unravel the genetic basis of coevolution. |
| تدمد: | 1664-8021 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40e1d46afc7e615b69e3b93f27e9fa7e https://doi.org/10.3389/fgene.2014.00077 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....40e1d46afc7e615b69e3b93f27e9fa7e |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 16648021 |
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